For the pig farming industry, sow farrowing is a key part of the process. Therefore, improving the survival rate of piglets and ensuring the safety of sow farrowing have become important issues. Existing AI monitoring methods have problems with high equipment costs and unstable information transmission. Researchers from Nanjing Agricultural University use a lightweight deep learning method to provide early warning and effective monitoring of the sow farrowing process, reducing costs while improving monitoring accuracy.

Columbia University's LEAP Lab used global storm analysis simulations and machine learning to create a new algorithm that addresses the problem of missing information in traditional models and provides a more accurate prediction method.

True human-machine collaboration

Prediction accuracy exceeds 99%

A comprehensive horizontal comparison of the three major methods

Rejuvenation from the inside out

Prospecting action, Action!

AI: a cure and a poison

Technology helps farmers add new Buff

Overview: In recent years, the global climate change situation is severe, and the butterfly effect caused by it is profoundly affecting humans and nature. In this context, collecting data on flowering patterns within hundreds or even thousands of kilometers and understanding how climate change affects flowering plants has become one of the important topics of ecological research in recent years. However, traditional […]

New option to fight drug-resistant bacteria

Grand opening of Riva Riverside

The multifaceted life of Associate Professor Huang Hong from Huazhong University of Science and Technology

New breakthrough in grape breeding technology

Contents at a glance: Drug inkjet printing is a highly flexible and intelligent way of making medicines. According to relevant reports, the market size of this field will grow exponentially in the near future. In the past, the method of screening suitable bio-inks was time-consuming and laborious, and thus became one of the main challenges in the field of drug inkjet printing. To solve this problem, the country […]

Attached ppt and sharing record

Three young people standing at the forefront of AIGC

A breakthrough in domestic regenerative medicine

Content at a glance: As the population continues to age, dementia has become a public health issue. Currently, the medical community can only treat the disease through medication, and no effective cure has been found. Therefore, preventing dementia is particularly urgent. Against this background, researchers at Yonsei University have developed several machine learning methods to predict BPSD.

Early warning of forest pests

Content at a glance: The second stop of the 2023 Meet TVM offline gathering is scheduled for June 17! This time we have set up 5 talks and look forward to meeting everyone in Zhongguancun, Beijing!

Keywords: compiler, offline activities, 2023MeetTVM

AI has joined the fight against malaria

Content at a glance: From 2023-5-10 to 2023-6-1, the registration channel for SegmentFault Hackathon 2023 Hangzhou is officially open! HyperAI will participate as a cooperative media and community. Interested friends can scan the QR code in the article to sign up and participate.

Keywords: SegmentFault AI Hackathon

Content Overview: In 2019, the global research team of the Event Horizon Telescope (EHT) released the first black hole photo in human history. Due to the observation conditions at the time, this black hole image only showed a blurry outline. Recently, a paper on the reconstruction of the M87 black hole image based on the PRIMO algorithm was published in the astrophysics journal The Astrophysical Journal Letters. The research results brought a clearer black hole image.

Keywords: M87 black hole PRIMO algorithm PCA

Content at a Glance: If you are learning how to create or choose a suitable dataset, this post will give you some practical advice to help you make informed decisions when choosing and creating datasets.

Keywords: machine learning, data set

Leading the new future of pharmaceuticals

AI becomes an accurate weather forecaster

A powerful tool for digital transformation of animal husbandry

Accuracy comparable to GPS

New assistant for astronomical observation

For the pig farming industry, sow farrowing is a key part of the process. Therefore, improving the survival rate of piglets and ensuring the safety of sow farrowing have become important issues. Existing AI monitoring methods have problems with high equipment costs and unstable information transmission. Researchers from Nanjing Agricultural University use a lightweight deep learning method to provide early warning and effective monitoring of the sow farrowing process, reducing costs while improving monitoring accuracy.

Columbia University's LEAP Lab used global storm analysis simulations and machine learning to create a new algorithm that addresses the problem of missing information in traditional models and provides a more accurate prediction method.

True human-machine collaboration

Prediction accuracy exceeds 99%

A comprehensive horizontal comparison of the three major methods

Rejuvenation from the inside out

Prospecting action, Action!

AI: a cure and a poison

Technology helps farmers add new Buff

Overview: In recent years, the global climate change situation is severe, and the butterfly effect caused by it is profoundly affecting humans and nature. In this context, collecting data on flowering patterns within hundreds or even thousands of kilometers and understanding how climate change affects flowering plants has become one of the important topics of ecological research in recent years. However, traditional […]

New option to fight drug-resistant bacteria

Grand opening of Riva Riverside

The multifaceted life of Associate Professor Huang Hong from Huazhong University of Science and Technology

New breakthrough in grape breeding technology

Contents at a glance: Drug inkjet printing is a highly flexible and intelligent way of making medicines. According to relevant reports, the market size of this field will grow exponentially in the near future. In the past, the method of screening suitable bio-inks was time-consuming and laborious, and thus became one of the main challenges in the field of drug inkjet printing. To solve this problem, the country […]

Attached ppt and sharing record

Three young people standing at the forefront of AIGC

A breakthrough in domestic regenerative medicine

Content at a glance: As the population continues to age, dementia has become a public health issue. Currently, the medical community can only treat the disease through medication, and no effective cure has been found. Therefore, preventing dementia is particularly urgent. Against this background, researchers at Yonsei University have developed several machine learning methods to predict BPSD.

Early warning of forest pests

Content at a glance: The second stop of the 2023 Meet TVM offline gathering is scheduled for June 17! This time we have set up 5 talks and look forward to meeting everyone in Zhongguancun, Beijing!

Keywords: compiler, offline activities, 2023MeetTVM

AI has joined the fight against malaria

Content at a glance: From 2023-5-10 to 2023-6-1, the registration channel for SegmentFault Hackathon 2023 Hangzhou is officially open! HyperAI will participate as a cooperative media and community. Interested friends can scan the QR code in the article to sign up and participate.

Keywords: SegmentFault AI Hackathon

Content Overview: In 2019, the global research team of the Event Horizon Telescope (EHT) released the first black hole photo in human history. Due to the observation conditions at the time, this black hole image only showed a blurry outline. Recently, a paper on the reconstruction of the M87 black hole image based on the PRIMO algorithm was published in the astrophysics journal The Astrophysical Journal Letters. The research results brought a clearer black hole image.

Keywords: M87 black hole PRIMO algorithm PCA

Content at a Glance: If you are learning how to create or choose a suitable dataset, this post will give you some practical advice to help you make informed decisions when choosing and creating datasets.

Keywords: machine learning, data set

Leading the new future of pharmaceuticals

AI becomes an accurate weather forecaster

A powerful tool for digital transformation of animal husbandry

Accuracy comparable to GPS

New assistant for astronomical observation